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Martin Pecka
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Darpa subterranean challenge: Multi-robotic exploration of underground environments
T Rouček, M Pecka, P Čížek, T Petříček, J Bayer, V Šalanský, D Heřt, ...
Modelling and Simulation for Autonomous Systems: 6th International …, 2020
1162020
Safe exploration techniques for reinforcement learning–an overview
M Pecka, T Svoboda
Modelling and Simulation for Autonomous Systems: First International …, 2014
1132014
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge
T Rouček, M Pecka, P Čížek, T Petříček, J Bayer, V Šalanský, T Azayev, ...
Field Robotics 2, 1779–1818, 2022
402022
Fast simulation of vehicles with non-deformable tracks
M Pecka, K Zimmermann, T Svoboda
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
362017
Autonomous flipper control with safety constraints
M Pecka, V Šalanský, K Zimmermann, T Svoboda
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
302016
Controlling robot morphology from incomplete measurements
M Pecka, K Zimmermann, M Reinstein, T Svoboda
IEEE Transactions on Industrial Electronics 64 (2), 1773-1782, 2016
272016
Vojech Spurny, et al. Darpa subterranean challenge: Multi-robotic exploration of underground environments
T Roucek, M Pecka, P Cızek, T Petrıcek, J Bayer, V Šalansky, D Hert, ...
International Conference on Modelling and Simulation for Autonomous Systesm …, 0
25
UAVs beneath the surface: Cooperative autonomy for subterranean search and rescue in DARPA SubT
M Petrlik, P Petracek, V Kratky, T Musil, Y Stasinchuk, M Vrba, T Baca, ...
arXiv preprint arXiv:2206.08185, 2022
182022
Safe Exploration for Reinforcement Learning in Real Unstructured Environments
M Pecka, K Zimmermann, T Svoboda
20th Computer Vision Winter Workshop, 85-94, 2015
92015
Data-driven policy transfer with imprecise perception simulation
M Pecka, K Zimmermann, M Petrlík, T Svoboda
IEEE Robotics and Automation Letters 3 (4), 3916-3921, 2018
72018
Safe Autonomous Reinforcement Learning
M Pecka
PQDT-Global, 2020
3*2020
An ad-hoc planner for the mars express mission
M Kolombo, M Pecka, R Barták
Proceedings of the 5th International Workshop on Planning and Scheduling for …, 2013
32013
MonoForce: Self-supervised learning of physics-aware grey-box model for predicting the robot-terrain interaction
R Agishev, K Zimmermann, M Pecka, T Svoboda
arXiv preprint arXiv:2309.09007, 2023
12023
DR 4.4: Implementing persistence in collaborative planning
L Freda, F Pirri, T Svoboda, M Pecka, A Gawel
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